What is the main advantage of using multiple processing sets in Relativity?

The main advantage of using multiple processing sets in Relativity lies in the ability to streamline workflows and manage different datasets effectively. When handling complex legal matters or large volumes of data, it is essential to maintain organization and clarity throughout the project. Multiple processing sets allow users to create distinct sets of processing criteria, enabling them to tackle various datasets concurrently without confusion or overlap.

This organization enhances the efficiency of the workflow by allowing users to apply different processing settings tailored to specific types of data or case requirements. For instance, certain datasets may require different file types to be processed or varied levels of data culling. By managing multiple processing sets, users can ensure that each dataset is handled according to its unique needs, ultimately improving the speed and accuracy of the overall processing effort.

In this way, utilizing multiple processing sets leads to a more manageable approach for complex projects, fostering better collaboration among team members and better results in terms of data handling and review processes.